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Solih Alfiandy
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solihalfiandy@gmail.com
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buletingawbariri@gmail.com
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Jl. Sapta Marga No.1, Birobuli Utara, Kec. Palu Selatan, Kota Palu, 94231, Provinsi Sulawesi Tengah
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Buletin GAW Bariri ( BGB)
Published by Stasiun Pemantau Atmosfer Global Lore Lindu Bariri
ISSN : 27217752     EISSN : 27219704     DOI : https://doi.org/10.31172/bgb.v3i1
Core Subject : Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Astronomy Computer Science & IT Earth & Planetary Sciences Environmental Science
Buletin GAW Bariri (BGB) merupakan buletin karya tulis ilmiah yang diterbitkan oleh Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu BMKG sebagai sarana publikasi hasil penelitian dan kajian di bidang Meteorologi, Klimatologi, Kualitas Udara, dan Geofisika (MKKuG), serta Lingkungan.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 47 Documents
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Perhitungan Neraca Air Meteorologi Waduk Jatiluhur Berdasarkan Data Curah Hujan Dan Penguapan Muhammad Asnawi; Rheinhart Christian Hamonangan Hutauruk
Buletin GAW Bariri Vol 3 No 2 (2022): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v3i2.71

Abstract

One of the causes of water reduction in reservoirs is the large evaporation caused by rainfall. Measurements of the amount of evaporation in the reservoir still need to be tested and adjusted to local conditions of the region. Hence the calculation of Jatiluhur reservoir water balance is based on precipitation data and evaporation with the aim to obtain potential evaporation formula and to know the surplus and water deficit in Jatiluhur reservoir due to climatology factor. The data used is daily rainfall data and daily evaporation data from 2003 to 2018. The research begins with grouping rainy days, no rainy days and evaporation every month. Furthermore the data is divided into several classes for the later specified frequency and maximum and minimum value of evaporation data. Then the calculation is calculated evaporation and potential lost with empirical formula based on maximum, minimum, and predefined values. The result is a large potential evaporation when the rainy day and the rainy day from January to December in Jatiluhur Reservoir is generally in the range of 3.8 to 11 mm/day, except in August and September are experiencing a significant increase. Next, the potential loss of Jatiluhur reservoirs in each month can be sought using empirical formulas with variable rainfall, evaporation when rainy day and day without rain.
Karakteristik Musiman pada Kondisi Langit berdasarkan Clearness Index di Aceh Besar
Buletin GAW Bariri Vol 3 No 2 (2022): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v3i2.76

Abstract

Knowledge of the sky conditions in particular location is a fundamental to studies about climate and has applications  for meteorology, industry, agriculture, architecture, engineering, studies of water resources development and solar energy conversion system. These conditions can be quantified by meteorological parameter such as the clearness index. Clearness index ( is defined as the ratio of global solar irradiance measured at ground level and its counterpart the extra – terrestrial radiation at the top of the atmosphere. In this study, seasonal characteristic of sky condition in Aceh Besar (05.4°S and 95.46°W) has been carried out using . One year (Jan 2020 – Dec 2020) measured data of daily average global radiation has been used to determines the daily and monthly variations of. The result shows that for daily averages,  ranges from 0.19 to 0.70 with cloudy days are common days in Aceh Besar with hardly any very clear days. For monthly average, the month of January shows the highest  (0.55), while November shows the lowest (0.41). Based on monthly averages of the daily, monthly percentage cumulative frequency, and climatic conditions, the sky condition in Aceh Besar is classified into two seasonal periods. The dry season (January – March and June – September) has values ranging between 0.44 and 0.55, while the wet season (April – May and October – December) has ranging between 0.44 and 0.45.
Kenyamanan Termal Klimatologis di Provinsi Riau berdasarkan Temperature Humidity Index (THI) Tia Kustia; Tomy Burju Asido Sihombing
Buletin GAW Bariri Vol 3 No 2 (2022): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v3i2.78

Abstract

Enhancement of population and migration that trigger development and industrial growth if it is not balanced by environmental balancing and land availability will cause environmental and social problems as well as reduced green open space which will affect human comfort in their activities. This research aims to determine the level of thermal comfort and its tendency in Riau Province using the THI index. This study uses the variables of daily average air temperature and daily relative humidity for the period 1990 – 2021 from Meteorological Station SSK II Riau to calculate the THI index. Based on the results of the calculation of the THI index, in general the level of comfort in the Partially Comfortable category is 84.3% or 308 days/year and the trend of THI has increased by 0.019 C/year.
Identifikasi Tingkat Kerawanan Tanah Longsor di Provinsi Sulawesi Tengah Sunardi; Nurmasyita Anggraini; Solih Alfiandy; Asep Firman Ilahi
Buletin GAW Bariri Vol 3 No 2 (2022): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v3i2.79

Abstract

The Landslide disaster is an event that is associated with various types of factors such as precipitation, geology, distance from the fault, vegetation, and topography. The Central Sulawesi region is an area that has many hills and mountains as well as sandy soil types with a total annual rainfall that varies due to geographical location and topographical conditions which make this region have a type of rain which is dominated by local dry types and very dry or wet to very wet, so it is interesting to be used as a research area. Based on the background of the problems that have been described, this study aims to determine areas that are prone to landslides in Central Sulawesi Province. The types of data used to determine the level of vulnerability to landslides are rainfall, rock type, slope, land cover and soil type. The mapping system used is geographic information system (GIS) software with a weighted overlay method. The results showed that the level of vulnerability to landslides in the Central Sulawesi region was dominated by the moderate level of vulnerability. Based on the research results, it can be concluded that landslides will occur if the values of all the factors (parameters) that cause them are met.
Prediksi Harian Suhu Udara Permukaan dengan Jaringan Syaraf Tiruan : Studi Kasus di Kawasan perkotaan dan Pesisir Jakarta, Indonesia Richard Mahendra Putra; Eka Fibriantika; Yetti Kusumayanti; Erlya Afrianti; Arifatul Hidayanti; Wishnu Agum Swastiko; Helminah Herawati; Atri Wiujiana
Buletin GAW Bariri (BGB) Vol 4 No 1 (2023): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v4i1.84

Abstract

The weather forecast is significant to protect life and property. A forecast of temperature is important to the agriculture sector because when high temperatures can cause the soil to dry out faster and reduce the availability of water for plants. Furthermore, understanding the temperature condition can help meteorologists forecast the other atmosphere condition. The purpose of this research is to make a modeling prediction of temperature conditions the next day using an artificial neural network model (ANN). To make the ANN model, the daily average temperature measured in the meteorological stations in the urban and the coastal areas of Jakarta over 2010 – 2019 was used as training data. The testing data using surface temperature during January – December 2020. This model uses the various number of neurons in the hidden lapisan between 3 and 15. Based on the result, the ANN model is good enough to predict the temperature condition in Jakarta with the correlation between 0.625 – 0.653 and mean absolute error (MAE) between 0.569 – 0.600 oC. The best model prediction was obtained when the neuron number was 4 in the Urban Area of Jakarta and 8 in the Coastal Area of Jakarta seen from the high correlation value with the observations and a low error rate.
Rancang Bangun Sistem Pengukur Arus dan Suhu Permukaan Laut Portable Berbasis Internet of Things Leo Gumalto Butarbutar; Djoko Prabowo; Immanuel Jhonson Arizona Saragih
Buletin GAW Bariri (BGB) Vol 4 No 1 (2023): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v4i1.89

Abstract

The ocean plays a vital role in both the economy and the environment. Monitoring and understanding its conditions are crucial for preserving marine ecosystems and ensuring the security of marine resources. Measuring ocean currents and surface temperatures provides essential information for environmental modeling. Current research focuses on developing a portable Internet of Things (IoT) system for measuring ocean currents and surface temperatures. Traditional observation tools like sea gliders are expensive and bulky, while buoys lack portability. This study presents a simple IoT-based system utilizing sensors and the Arduino Mega 2560 microcontroller. The device effectively measures current speed, direction, surface temperature, and detects location coordinates. Measurement data is wirelessly transmitted in real-time to the ThingView application. These data serve to verify the Ocean Forecast System (OFS) model and improve the maritime services offered by the Indonesian Meteorological, Climatological, and Geophysical Agency (BMKG). The device's compact design facilitates direct acquisition of current and surface temperature data. It exhibits higher resolution than the OFS model, with current speed measurement resolution around 0.02 cm/s and surface temperature measurement resolution around 0.0625°C, while the OFS has resolutions of 5 cm/s and 2.0°C, respectively.
Karakteristik Aerosol Optical Depth (AOD) di Cagar Biosfer Lore Lindu Berdasarkan Data Aeronet Henri Panggabean; Sunardi Sunardi; Asep Firman Ilahi; Yuliana Susilowati
Buletin GAW Bariri (BGB) Vol 4 No 1 (2023): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v4i1.90

Abstract

The presence of aerosols in the air is an indicator of air quality. Aerosol observations have been carried out in the Lore Lindu National Park area using a Sunphotometer which produces AOD values at several wavelengths. This study uses AOD data at a wavelength of 500 nm Aronet Version 3 Level 2.0. The aerosol observations are incorporated in the Aerosol Robotic Network (Aeoronet). Monthly average rainfall data is obtained using an Ombrometer rainfall measurement in millimeters (mm). Analysis of the data on the average total AOD value obtained that the composition of the aerosol is dominated by fine particles (Fine Mode) and then coarse particles (coarse mode). The highest AOD value is at 6.00 at the lowest temperature and in October at the end of the dry season. The relationship between AOD 500nm and temperature has an inverse ratio. AOD with rainfall shows slightly different characteristics, where when there is high rainfall the AOD trend is still high but will change drastically for the next 3 months and vice versa if there is little rainfall then the AOD trend will start to rise for the next 3 months. Wind direction has no significant effect on the AOD and Angstrom Exponent values, but wind speed has an influence on the AOD and Angstrom Exponent values.
Analisis Analisis Perubahan Pola Musim dan Distribusi Frekuensi Curah Hujan di Sentani Pattipeilohy, Wendel Jan; Barung, Femmy Marsitha; Ronsumbre, Ezri Yustina
Buletin GAW Bariri (BGB) Vol 5 No 1 (2024): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v5i1.92

Abstract

One important aspect in detecting climate change is by analyzing changes in meteorological variables such as rainfall. This research was conducted to analyze climate change in a simple way in Sentani using rainfall data from the period 1991 – 2020. The method used is qualitative analysis related to the shift in the onset of the rainy season and dry season in period 1 (1991 – 2005) and period 2 (2006 – 2020) compared to their climatological norms. Then, the changes in frequency distribution in each period were compared, and the Mann Whitney statistical test was conducted to test the significance of the average rainfall in each period. Additionally, the Mann Kendall test was used to detect any changes in trends. The results show a shift in the seasonal pattern from the normal, where the onset of the dry season tends to come earlier, and the onset of the rainy season comes later than the normal conditions. There is an increase in rainfall intensity in period 2, where based on the frequency distribution, rainfall in period 1 had a maximum interval of 250 – 300 mm/ten days, while in period 2, the maximum value of the rainfall interval reached 400 – 450 mm/ten days. The Mann Whitney and Mann Kendall statistical tests confirm a significant difference in the average rainfall between the two periods and a significant increase in rainfall over the past 30 years.
Pendidikan Mengatasi Perubahan Iklim berdasarkan Literasi Iklim untuk Pertanian Berkelanjutan di Provinsi Sulawesi Tengah Solih Alfiandy; Asep Firman Ilahi
Buletin GAW Bariri (BGB) Vol 4 No 2 (2023): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v4i2.113

Abstract

The Meteorology, Climatology and Geophysics Agency continues to strive to enhance understanding of climate change and its impact through climate literacy, especially in Central Sulawesi Province. Climate literacy through this program can enchance the understanding of agricultural extension officers, farmers, and flagship farmer groups about climate change and help addres challenges in agriculture. The aim of study is to determine the extent of the increase in the knowledge capacity of Human Resources regarding Climate and Climate Change on agriculture through climate literacy in the Central Sulawesi Province. The literacy methods used include visual education materials, interactive training, and life skills approaches. The results obtained show in 21.24% increase in understanding during the period of the Climate Fields School implementation in Central Sulawesi Province. Local government hope that this climate literacy activity can continue as an effort to enhance the capacity of human resources in agriculture to archive climate – smart agriculture. The BMKG Climate Fields School is a valuable resource for empowering agricultural enthusiasts and achieving sustainable agriculture.
Tingkat Akurasi dan Presisi Data Hujan Sensor Peralatan Otomatis terhadap Penakar Hujan Konvensional di Provinsi Sulawesi Tengah
Buletin GAW Bariri (BGB) Vol 4 No 2 (2023): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v4i2.114

Abstract

Rainfall is the height of rainwater that falls on a flat place assuming it does not evaporate, does not seep and does not flow. Rainfall can be measured using conventional and automatic equipment. The equipment for measuring rainfall is an observatory measurer (Ombrometer), while conventional equipment uses bucket typing sensors from the Automatic Rain Gauge (ARG), Automatic Weather Station (AWS) and Automatic Agroclimate Weather Station (AAWS). Rain measured using conventional and automatic equipment has the same units, namely millimeters (mm). Analysis was carried out to determine the quality of monthly rainfall data from automatic equipment on rain posts using Taylor diagrams. The Taylor diagram summarizes three frequently used indicators including correlation, standard deviation, and centered root mean square error. The results show that ARG Palolo, AWS Dolago and AAWS Sidondo are the best among each of the 3 types of automatic equipment, consisting of 12 ARG Palolo, 3 AWS and 3 AAWS in Central Sulawesi Province. ARG Palolo has a level of accuracy and precision that is closest to the rain post, namely having a correlation value of 0.79, p – value 0.00029, centered RMS Error of 95 and standard deviation of 97.15. AWS Dolago has a level of accuracy and precision that is closest to the rain post, namely having a correlation value of 0.975, p – value 1.42E – 10, centered RMS Error of 22.4 and standard deviation of 107.788. AAWS Sidondo has a level of accuracy and precision that is closest to the rain post, namely having a correlation value of 0.455, p – value 0.0768, centered RMS Error of 61.3 and standard deviation of 197.55.

Page 3 of 5 | Total Record : 47

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